Triple
T17234732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Churchgate, Mumbai |
E418328
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Fort, Mumbai |
E919118
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Fort, Mumbai | Statement: [Churchgate, Mumbai, adjacentTo, Fort, Mumbai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fort, Mumbai Context triple: [Churchgate, Mumbai, adjacentTo, Fort, Mumbai]
-
A.
Fort (Mumbai)
chosen
Fort (Mumbai) is a historic business and cultural district in South Mumbai known for its colonial-era architecture, financial institutions, and heritage landmarks.
-
B.
Mazagon, Mumbai
Mazagon, Mumbai is a historic coastal neighborhood in South Mumbai known for its port-related industries and major shipbuilding facilities.
-
C.
Mumbai waterfront
The Mumbai waterfront is a prominent coastal stretch of the city featuring historic landmarks, promenades, and harbors along the Arabian Sea.
-
D.
Poona
Poona is a small coastal locality in Queensland, Australia, situated within the Fraser Coast Region and known for its quiet seaside setting and access to Great Sandy Strait.
-
E.
Mumbai
Mumbai is a densely populated coastal metropolis in western India that serves as the country’s financial hub and the center of its film industry, Bollywood.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dfa0a408190880804d463305867 |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01676382388190ab82bd10bd53f59e |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:39 a.m.